DocumentCode
1633448
Title
Integration of fluctuating renewable energy — A German case study
Author
Spiecker, S. ; Weber, C.
Author_Institution
Dept. of Manage. Sci. & Energy Econ., Univ. Duisburg- Essen, Essen, Germany
fYear
2011
Firstpage
1
Lastpage
10
Abstract
With increasing amounts of power generation from intermittent sources like wind and solar, capacity planning has not only to account for the expected load variations but also for the stochastics of volatile power feed-in. Moreover investments in power generation are no longer centrally planned in deregulated power markets but rather decided on competitive grounds by individual power companies. This poses particular challenges when it comes to evaluating future electricity markets in large-scale systems like the European transmission system. Within this article an approach is presented which allows assessing electricity market development in the presence of stochastic power feed-in and endogenous investments of power plants and renewable energies. This model uses typical days and hours as well as recombining trees to represent both load and feed-in fluctuations. Four scenarios are presented covering 30 European countries and simultaneously optimizing generation investments and dispatch as well as utilization of transmission lines. Results are presented up to 2050.
Keywords
investment; large-scale systems; load flow; optimisation; power generation dispatch; power generation economics; power generation planning; power markets; power transmission lines; renewable energy sources; stochastic processes; European transmission system; deregulated power markets; large-scale systems; load fluctuations; optimization; power companies; power generation dispatch; power generation planning; power plant investments; renewable energy integration; stochastic power feed-in; transmission lines; Biomass; Investments; Load modeling; Mathematical model; Power generation; Production; Stochastic processes; photovoltaic; power system economics; renewable energy integration; stochastic optimization; wind power;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location
San Diego, CA
ISSN
1944-9925
Print_ISBN
978-1-4577-1000-1
Electronic_ISBN
1944-9925
Type
conf
DOI
10.1109/PES.2011.6039677
Filename
6039677
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